Senior Solution Architect – Databricks, Data & AI

Senior Solution Architect – Databricks, Data & AI

Anywhere

Type: Contract

Category: Architecture

Industry: Technology

Workplace Type: Remote

Standard

Hours:

Open

Reference : JN -

Date Posted: 11/03/2026

Shortcut:

Description:

Remote

Our client is seeking a Senior Solution Architect to provide technical leadership for a large-scale Data & AI modernization initiative. This individual will own the overall architecture and technical direction across Databricks platform modernization, data engineering, governance, observability, semantic architecture, and AI/agent enablement. The Solution Architect will work closely with platform, data, security, business, and engineering stakeholders while providing technical leadership to a team of senior and staff‑level Data & AI Engineers.

This role is hands‑on and requires the ability to move between enterprise architecture, Databricks platform design, governance, and technical problem solving.

We can facilitate w2 and corp-to-corp consultants. For our w2 consultants, we offer a great benefits package that includes Medical, Dental, and Vision benefits, 401k with company matching, and life insurance.

Rate: $100.00 to $105.00/hr. w2

JN -

Responsibilities:

• Lead a Databricks Well‑Architected assessment across platform architecture, observability, pipelines, consumption, data quality, security, governance, and cost. Define target‑state architecture and technical standards for the Data & AI platform. Identify architectural gaps, technical debt, platform risks, and remediation priorities.

• Establish architectural patterns supporting scalable data ingestion, transformation, analytics, AI, and agent‑based solutions. Guide engineering teams in implementing standards and remediation priorities. Establish standards for development, test, production promotion, CI/CD, monitoring, and operational support.

• Design and implement governance standards leveraging Databricks Unity Catalog. Define least‑privilege access models, attribute‑based access control policies, data classification, tagging, and lineage standards. Establish monitoring for system health, jobs, pipelines, audit activity, data quality, and platform performance. Implement platform approaches for cost monitoring and optimization.

• Define data architecture standards for Bronze, Silver, and Gold medallion layers. Establish reusable patterns for source ingestion, transformation, data quality, lineage, and deployment. Architect configuration‑driven onboarding frameworks using Databricks Lakeflow, Asset Bundles, YAML/control tables, and automated CI/CD. Guide development of conformed dimensions, shared business keys, and cross‑domain data products.

• Define the architecture for an AI‑ready Gold layer with certified, governed, documented data products. Design semantic and context layers using governed business definitions, metric views, KPIs, metadata, and business glossary information. Architect natural‑language analytics using Databricks Genie. Define agent‑ready interfaces using governed Unity Catalog functions, MCP endpoints, tracing, and evaluation.

• Provide architectural direction and technical mentorship to Data & AI Engineers. Partner with business SMEs and data owners to translate requirements into scalable technical solutions. Lead architecture and design reviews. Establish reusable engineering standards, reference architectures, runbooks, and implementation patterns. Participate in milestone and steering reviews.

• Deliver a secure, observable, governed, cost‑aware, AI‑ready Databricks architecture that can scale beyond a single use case. Produce assessment scorecards, remediation plans, platform standards, reusable data architecture patterns, and semantic and AI architecture assets. Enable operational readiness with…